1,798 Result(s)
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Chapter and Conference Paper
IoT Botnet Attacks Detection and Classification Based on Ensemble Learning
With the vigorous development of the IoT, botnet attacks against the IoT have become more frequent and diverse, and the research on attack prevention and detection has become more difficult. This paper propose...
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Chapter and Conference Paper
Infrared and Visible Image Fusion via Test-Time Training
Infrared and visible image fusion (IVIF) is a widely used technique in instrument-related fields. It aims at extracting contrast information from the infrared image and texture details from the visible image a...
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Chapter and Conference Paper
Prediction and Analysis of Multiple Causes of Mental Health Problems Based on Machine Learning
To prevent other types of mental health problems from being misclassified as depression, as well as to remedy the problem of inadequate resources for mental health consultations. This study first analyzes the ...
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Chapter and Conference Paper
DP-INNet: Dual-Path Implicit Neural Network for Spatial and Spectral Features Fusion in Pan-Sharpening
Pan-sharpening is a technique that fuses a high-resolution panchromatic (PAN) image with its corresponding low-resolution multispectral (MS) image to create a high-resolution multispectral image. Due to the po...
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Chapter and Conference Paper
Fast QTMT Decision for H.266/VVC via Jointly Leveraging Neural Network and Machine Learning Models
The latest video coding standard H.266/VVC has significantly improved the compression efficiency compared to its predecessor H.265/HEVC. One of the key technologies in H.266/VVC is the QuadTree with nested Mul...
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Chapter and Conference Paper
Graph-Based Dependency-Aware Non-Intrusive Load Monitoring
Non-intrusive load monitoring (NILM) is able to analyze and predict users’ power consumption behaviors for further improving the power consumption efficiency of the grid. Neural network-based techniques have b...
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Chapter and Conference Paper
Distance Education Platform for Mental Health Courses in Secondary Vocational Schools Based on Cloud Computing
In order to solve the problem of the limited response ability of the remote client terminal of the distance education platform, this study proposed a cloud computation-based distance education platform for sec...
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Chapter and Conference Paper
Learning Scene Graph for Better Cross-Domain Image Captioning
The current image captioning (IC) methods achieve good results within a single domain primarily due to training on a large amount of annotated data. However, the performance of single-domain image captioning m...
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Chapter and Conference Paper
Design of Distributed Synchronization Header for Short Burst Communication with Low Earth Orbit Satellites
With the rapid development of low Earth orbit satellite communication technology, achieving efficient communication in multi-user access scenarios has become a highly regarded challenge. The associated frame s...
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Chapter and Conference Paper
A Multi-view Feature Construction and Multi-Encoder-Decoder Transformer Architecture for Time Series Classification
Time series data plays a significant role in many research fields since it can record and disclose the dynamic trends of a phenomenon with a sequence of ordered data points. Time series data is dynamic, of var...
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Chapter and Conference Paper
Optimal Planning of Hydrogen Refueling Stations Considering Balanced Utilization of Resources
Compared with electric vehicles, hydrogen fuel cell vehicles offer several advantages, including faster speed and longer range. Additionally, hydrogen fuel cell vehicles are powered by hydrogen energy, which i...
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Chapter and Conference Paper
Device-Free Cross-Environment Human Action Recognition Using Wi-Fi Signals
The research of human action recognition (HAR) based on Wi-Fi signals shows great application value in fields of human-computer interaction. However, many existing Wi-Fi-based HAR systems are vulnerable to env...
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Chapter and Conference Paper
MTMG: A Framework for Generating Adversarial Examples Targeting Multiple Learning-Based Malware Detection Systems
As machine learning technology continues to advance rapidly, an increasing number of researchers are utilizing it in the field of malware detection. Despite the fact that learning-based malware detection syste...
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Chapter and Conference Paper
Effect of Surface Stripes on Electrical-Thermal–Mechanical Behaviors and Interfacial Bonding Formation in Parallel Gap Resistance Welding of Ag Interconnectors
This work focuses on investigating the effects of surface stripes of materials on parallel gap resistance welding (PGRW) of Ag interconnectors. Two configurations were compared: (1) surface strips on two inter...
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Chapter and Conference Paper
Prediction of Gas-Liquid Flow Parameters in Pipes Based on Physics-Informed Neural Network
Gas-liquid two-phase flow is a prevalent phenomenon in unmanned industrial settings, and understanding the vortex behavior in pipes is crucial for its analysis and prediction. The occurrence of vortex is intri...
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Chapter and Conference Paper
Integrating Human Parsing and Pose Network for Human Action Recognition
Human skeletons and RGB sequences are both widely-adopted input modalities for human action recognition. However, skeletons lack appearance features and color data suffer large amount of irrelevant depiction. ...
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Chapter and Conference Paper
Model Predictive Control Based on Dynamic Event-Triggered Mechanism for DC-DC Buck Converters
The article proposes a dynamic event-triggered model predictive control (DET-MPC) method is proposed for DC-DC converters. The model prediction is executed once the trigger condition is met, and subsequently, ...
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Chapter and Conference Paper
Recognizer Embedding Diffusion Generation for Few-Shot SAR Recognization
Synthetic Aperture Radar (SAR) has become a research hotspot due to its ability to identify targets in all weather conditions and at all times. To achieve satisfactory recognition performance in most existing ...
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Chapter and Conference Paper
Context-Aware Automatic Splitting Method for Structured Complex Crowdsourcing Tasks
Crowdsourcing as a practical way of ensuring data quality has achieved great success in fields like image annotation, speech recognition, etc. For structured complex tasks like translation which are usually ve...
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Chapter and Conference Paper
A Two-Stage Federated Learning Framework for Class Imbalance in Aerial Scene Classification
Centralized aerial imagery analysis techniques face two challenges. The first one is the data silos problem, where data is located at different organizations separately. The second challenge is the class imbal...
